Text Generation
Safetensors
GGUF
English
llama
HelpingAI
Emotionally Intelligent
EQ
conversational
Eval Results (legacy)
Instructions to use HelpingAI/HelpingAI2-9B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use HelpingAI/HelpingAI2-9B with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="HelpingAI/HelpingAI2-9B", filename="helpingai2-9b-q5_0.gguf", )
llm.create_chat_completion( messages = [ { "role": "user", "content": "What is the capital of France?" } ] ) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- llama.cpp
How to use HelpingAI/HelpingAI2-9B with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf HelpingAI/HelpingAI2-9B:Q5_0 # Run inference directly in the terminal: llama-cli -hf HelpingAI/HelpingAI2-9B:Q5_0
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf HelpingAI/HelpingAI2-9B:Q5_0 # Run inference directly in the terminal: llama-cli -hf HelpingAI/HelpingAI2-9B:Q5_0
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf HelpingAI/HelpingAI2-9B:Q5_0 # Run inference directly in the terminal: ./llama-cli -hf HelpingAI/HelpingAI2-9B:Q5_0
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf HelpingAI/HelpingAI2-9B:Q5_0 # Run inference directly in the terminal: ./build/bin/llama-cli -hf HelpingAI/HelpingAI2-9B:Q5_0
Use Docker
docker model run hf.co/HelpingAI/HelpingAI2-9B:Q5_0
- LM Studio
- Jan
- vLLM
How to use HelpingAI/HelpingAI2-9B with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "HelpingAI/HelpingAI2-9B" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "HelpingAI/HelpingAI2-9B", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/HelpingAI/HelpingAI2-9B:Q5_0
- Ollama
How to use HelpingAI/HelpingAI2-9B with Ollama:
ollama run hf.co/HelpingAI/HelpingAI2-9B:Q5_0
- Unsloth Studio new
How to use HelpingAI/HelpingAI2-9B with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for HelpingAI/HelpingAI2-9B to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for HelpingAI/HelpingAI2-9B to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for HelpingAI/HelpingAI2-9B to start chatting
- Pi new
How to use HelpingAI/HelpingAI2-9B with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama-server -hf HelpingAI/HelpingAI2-9B:Q5_0
Configure the model in Pi
# Install Pi: npm install -g @mariozechner/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "HelpingAI/HelpingAI2-9B:Q5_0" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use HelpingAI/HelpingAI2-9B with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama-server -hf HelpingAI/HelpingAI2-9B:Q5_0
Configure Hermes
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default HelpingAI/HelpingAI2-9B:Q5_0
Run Hermes
hermes
- Docker Model Runner
How to use HelpingAI/HelpingAI2-9B with Docker Model Runner:
docker model run hf.co/HelpingAI/HelpingAI2-9B:Q5_0
- Lemonade
How to use HelpingAI/HelpingAI2-9B with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull HelpingAI/HelpingAI2-9B:Q5_0
Run and chat with the model
lemonade run user.HelpingAI2-9B-Q5_0
List all available models
lemonade list
Adding Evaluation Results
#1
by leaderboard-pr-bot - opened
README.md
CHANGED
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---
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license: other
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license_name: helpingai
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license_link: LICENSE.md
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pipeline_tag: text-generation
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tags:
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- HelpingAI
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- Emotionally Intelligent
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- OEvortex/EmotionalIntelligence-75K
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- Abhaykoul/EMOTIONS
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- Abhaykoul/human-emotion
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---
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# HelpingAI2-9B : Emotionally Intelligent Conversational AI
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@@ -142,4 +237,17 @@ Hello there! π It's tough when you have an argument with your best friend, bu
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> Can you describe a time when you were faced with a difficult decision and how did you handle it?
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Hello there! π I'm HelpingAI, your friendly and supportive AI companion. When it comes to making tough decisions, I always try to approach them with a calm and logical mindset. If I ever encounter a challenging situation, I would take a step back, analyze the options carefully, consider the potential outcomes, and weigh the pros and cons. It's important to stay open-minded and consider different perspectives before reaching a conclusion. Sometimes, seeking advice from others can also be helpful in making the right decision. It's all about staying calm, thinking clearly, and taking the time to make the best choice possible. π
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---
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language:
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- en
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license: other
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tags:
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- HelpingAI
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- Emotionally Intelligent
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- OEvortex/EmotionalIntelligence-75K
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- Abhaykoul/EMOTIONS
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- Abhaykoul/human-emotion
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license_name: helpingai
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license_link: LICENSE.md
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pipeline_tag: text-generation
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model-index:
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- name: HelpingAI2-9B
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results:
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: IFEval (0-Shot)
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type: HuggingFaceH4/ifeval
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args:
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num_few_shot: 0
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metrics:
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- type: inst_level_strict_acc and prompt_level_strict_acc
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value: 44.13
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name: strict accuracy
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=OEvortex/HelpingAI2-9B
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: BBH (3-Shot)
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type: BBH
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args:
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num_few_shot: 3
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metrics:
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- type: acc_norm
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value: 27.07
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name: normalized accuracy
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=OEvortex/HelpingAI2-9B
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: MATH Lvl 5 (4-Shot)
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type: hendrycks/competition_math
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args:
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num_few_shot: 4
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metrics:
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- type: exact_match
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value: 4.08
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name: exact match
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=OEvortex/HelpingAI2-9B
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: GPQA (0-shot)
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type: Idavidrein/gpqa
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args:
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num_few_shot: 0
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metrics:
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- type: acc_norm
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value: 1.12
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name: acc_norm
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=OEvortex/HelpingAI2-9B
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name: Open LLM Leaderboard
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+
- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: MuSR (0-shot)
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type: TAUR-Lab/MuSR
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args:
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num_few_shot: 0
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metrics:
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- type: acc_norm
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value: 6.32
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| 93 |
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name: acc_norm
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=OEvortex/HelpingAI2-9B
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: MMLU-PRO (5-shot)
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type: TIGER-Lab/MMLU-Pro
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config: main
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split: test
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args:
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num_few_shot: 5
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metrics:
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- type: acc
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value: 21.11
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name: accuracy
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=OEvortex/HelpingAI2-9B
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name: Open LLM Leaderboard
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---
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# HelpingAI2-9B : Emotionally Intelligent Conversational AI
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| 237 |
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> Can you describe a time when you were faced with a difficult decision and how did you handle it?
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| 239 |
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+
Hello there! π I'm HelpingAI, your friendly and supportive AI companion. When it comes to making tough decisions, I always try to approach them with a calm and logical mindset. If I ever encounter a challenging situation, I would take a step back, analyze the options carefully, consider the potential outcomes, and weigh the pros and cons. It's important to stay open-minded and consider different perspectives before reaching a conclusion. Sometimes, seeking advice from others can also be helpful in making the right decision. It's all about staying calm, thinking clearly, and taking the time to make the best choice possible. π
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# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_OEvortex__HelpingAI2-9B)
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| Metric |Value|
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|-------------------|----:|
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|Avg. |17.30|
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|IFEval (0-Shot) |44.13|
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|BBH (3-Shot) |27.07|
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| 249 |
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|MATH Lvl 5 (4-Shot)| 4.08|
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| 250 |
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|GPQA (0-shot) | 1.12|
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| 251 |
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|MuSR (0-shot) | 6.32|
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| 252 |
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|MMLU-PRO (5-shot) |21.11|
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| 253 |
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